Name: CData Sync
Rating: 8 (1 reviews)
Author: CData Software

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Agile Development

Functional Testing

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Java Technologies

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Business Intelligence (BI)

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Email Spam Filter

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Privacy Policy Generators

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Accounting

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401(k)

Applicant Tracking

Corporate Learning Management

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Ethernet Switches

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URL Shorteners

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Government Contracting

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### Data Integration Techniques
User feedback on CData Sync's data integration techniques highlights a mix of positive and negative sentiments. While users appreciate the ease of setting up syncing processes between multiple connections without requiring extensive technical knowledge or coding, some express concerns about the lack of drag-and-drop transformation capabilities, which may necessitate a development background. Additionally, users find the application powerful for loading data into various destinations, supporting incremental loads, and simplifying data warehousing processes. However, there are requests for features like incremental uploads to enhance data synchronization efficiency, indicating areas for potential improvement in CData Sync's data integration functionalities.

### Database Management
Users generally praise CData Sync's database synchronization capabilities. The feedback highlights the ease of configuring connections, the ability to replicate data from various sources to different databases, and the support for establishing schedules for unattended database synchronizations. However, some users have reported issues such as table and field mapping errors, slow response times in support tickets, and limitations in syncing all modules of certain databases. Despite these challenges, users appreciate the simplicity and reliability of CData Sync for loading data into different databases, especially for tasks like archiving Dynamics 365 to SQL Server and connecting SQL databases with Power BI.

### ETL Processes
Users widely appreciate the streamlined ETL capabilities offered by CData Sync. The tool's ability to handle UPSERT operations effortlessly and save time in ETL development has garnered positive feedback. Additionally, users find the GUI interface intuitive, making it easy to extract, transform, and load data from various cloud sources to local destinations for reporting and analytical purposes. The tool's efficiency in simplifying queries and data merging processes has been particularly lauded, allowing users to focus on data integration rather than the intricacies of building ETL tools. Furthermore, the hands-off nature of ETL processing with CData Sync has eliminated the need for complex SSIS packages, further enhancing the overall user experience.

### Data Replication and Synchronization
Users unanimously praise CData Sync for its exceptional data replication and synchronization capabilities. Reviewers highlight the ease of setting up the syncing process across multiple connections without requiring extensive technical knowledge or coding. The platform's efficiency in syncing data from diverse systems like CRM to SQL databases for reporting purposes is lauded, saving significant development time. Additionally, users appreciate how CData Sync simplifies the synchronization of databases across multinational branches, facilitating streamlined data consolidation and decision-making processes. The general sentiment is that CData Sync effectively addresses data replication challenges while offering a user-friendly experience.

### Incremental Loading and Transformations
Some users find CData Sync's incremental loading and transformations capabilities to be a strong point, praising its simplicity and reliability in handling data operations. They appreciate the flexibility it offers in terms of loading data into Azure SQL and the support for incremental loads. However, there are also concerns raised about limitations with specific integrations, such as the Sage50 UK driver not exposing all required data. Despite this, users have found workarounds to ensure smooth incremental loading processes, showcasing the tool's adaptability and effectiveness in managing data updates efficiently.

### Connectivity and Configuration
Users consistently praise CData Sync for its robust connectivity and configuration capabilities. The application's ability to set up connections from various data sources to different destinations in a flexible and intuitive manner has garnered positive feedback. While some users expressed a desire for cloud-based accessibility, the convenience of remote access to the locally installed application has mitigated this concern. Additionally, the support team's responsiveness and customer-centric approach have been highlighted as valuable assets in ensuring smooth connectivity and configuration experiences for users.

Users recommend the following:

1. It is important to read all the documentation first. Familiarizing oneself with the product's documentation before using it can be beneficial in understanding how to effectively utilize the software and make the most out of its features.

2. Ensure that the software supports all data sources and destinations. Verifying compatibility with specific data sources and destinations is crucial to avoid any potential issues or limitations when working with different data sources.

3. Users had positive experiences with the support team, particularly with Arun from CData. The support team was found to be helpful and efficient in resolving any issues or queries encountered while using the software.

Additionally, users suggest giving CData a chance if you need to replicate data from unfamiliar sources. However, some users do not feel comfortable recommending this software to others, indicating mixed opinions about its overall performance or user experience.

Flexible and Easy to Use: Users have found that CData Sync software is flexible and easy to use, allowing for quick and fast data processing and manipulation. Several reviewers have mentioned this as a major advantage of the software.

Handle UPSERT Operations with Zero Code: The ability of CData Sync to handle UPSERT operations with zero code has been highly appreciated by users. This feature saves time in ETL developments, according to multiple reviewers.

User-Friendly Syncing Process: Users find it easy to set up the syncing process between multiple connections using CData Sync. They appreciate that technical knowledge or coding is not required, making the syncing process user-friendly. Several reviewers have praised this aspect of the software.

High Prices: Some users have expressed that the prices of the plugins are quite high, making it difficult for small companies to take advantage of the potential of the tools.

Lack of Security Features: Users have mentioned that they feel the security of the platform is not very high, as it still uses traditional username and password login without the ability to set up different logins to the admin portal or support SSO.

Limited Documentation: Several reviewers have noted a lack of documentation for more advanced features in the software, which can make it challenging for users who want to utilize these capabilities.

CData Sync simplifies the process of syncing data between multiple systems, eliminating the need for manual export, modification, and import. Businesses find it beneficial as it provides a user-friendly interface for setting up and managing synchronization processes. Users have successfully synchronized databases from different ERP programs in multinational companies to generate consolidation reports for decision-making purposes. CData Sync is also effective in pulling data from complex CRM systems into SQL databases for data warehousing and reporting needs. It enables non-technical users to easily handle table sync and selection, simplifying data synchronization management. The software has proven to be effective in solving data replication problems and has gained a reputation for being easy to use. It seamlessly integrates with Oracle Eloqua and MySQL, expanding its capabilities for users working with diverse data sources. Organizations with hybrid data models benefit from CData Sync by focusing on data merging instead of developing their own ETL tools. Overall, it has received positive feedback from users who appreciate its effectiveness and customer support.

CData's Sync is a data pipeline tool able to connect data sources to the user's database or data warehouse, supporting at present over 200 possible sources, and a range of destinations (e.g. Snowflake, S3, Redshift), connecting on-premise or SaaS sources and destinations.

Astera Data Pipeline Builder is a no-code solution for designing and automating data pipelines. It allows users to read and write data across various file formats, databases, and applications. Users can execute ETL and ELT pipelines manually, schedule automated reruns, or integrate them into broader data management processes.

Centerprise Enterprise

Astera Data Pipeline Builder (Centerprise)

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query building and workflow automation.

Base Edition

Pro Edition

Toad Data Point

CData Sync

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

Data Integration

CData Sync - Transform Feature (Xero Accounting)

Likelihood to Recommend

Data Source Connection

Ability to connect to multiple data sources

Connect to traditional data sources

Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

Connecto to Big Data and NoSQL

Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

Simple transformations

Simple data transformations are calculations, data type conversions, aggregations and search and replace operations

Complex transformations

Complex data transformations are data normalization, advanced data parsing, etc.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Metadata management

Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

Business rules and workflow

Ability to define and manage business rules and workflows

Collaboration is enabled by a shared repository of project information and metadata

Testing and debugging

Tool to debug and tune for optimal performance

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

Integration with data quality tools

Integration with tools for cleansing, parsing and normalizing data according to business rules

Integration with MDM tools

Integration with master data management tools to ensure data consistency across the organization

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CData Sync is the automated data replication software used across different operational teams in my organization, for synchronization and replication. In previous years, we had issues with connecting to some destination databases when working with B2B companies and MNCs (Multinational Corporations). However, the software CData is an effective tool that has liberated our data replication from failed attempts, giving us successful enterprise and organizational data replicate to on-premise and cloud base databases. We use CData Sync on supported integrations as; DB2, MySQL, SQL server, and also snowflake - CData Sync complements well with these domains. We have expanded use when dealing with 10 or more sources.

Effortless use of no-code interfaces on data pipelining on.
High demand numbers of sources and destinations.
Works with even snowflake, with no error occurrence.
It uses ETL - (Extract / Transfer / Load).
It enhances data extraction and database support.

Although efficient for SQL servers and MySQL, as well as Snowflake. It is not strong for other database engines, and an upgrade on this would do a lot.
The installation process is manual as opposed to the cloud installation it should be.
A feature of syncing auto increment ID key, that will help in existing data management.

Integer-based incremental check column.
A syncing system that is log-based replication.
Equipped with hard, soft, and skip delete systems.
Variation in multiple-choice data types.
Built-in REST API access
The 250+ connection sources.

Reserves resources by covering human power via its automated sync method.
Saves time: on launching data collectively into a compatible domain.

Tableau CRM, IBM SPSS, Sisense for Cloud Data Teams

CData Sync

Overview

What is CData Sync?